MCP数据可视化服务器配置依赖

# requirements.txt
# MCP数据可视化服务器依赖包# 核心MCP包
mcp>=0.1.0# 数据处理
pandas>=2.0.0
numpy>=1.24.0# 可视化
matplotlib>=3.7.0
seaborn>=0.12.0# 异步支持
asyncio-mqtt>=0.13.0# JSON处理
jsonschema>=4.17.0# 图像处理
Pillow>=9.5.0# 可选：更多数据处理工具
scipy>=1.10.0
scikit-learn>=1.3.0---# config.json
# MCP服务器配置文件
{"server": {"name": "data-visualization","version": "1.0.0","description": "智能数据可视化MCP服务器","capabilities": {"tools": true,"resources": false,"prompts": false}},"datasets": {"auto_load": true,"sample_data": true,"formats_supported": ["csv", "json", "excel"]},"visualization": {"default_style": "default","figure_size": [12, 8],"dpi": 300,"formats": ["png", "svg", "pdf"]},"tools": {"list_available_datasets": {"enabled": true,"description": "列出所有可用数据集"},"get_dataset": {"enabled": true,"max_rows": 10000,"description": "获取数据集内容"},"analyze_data_structure": {"enabled": true,"include_statistics": true,"description": "分析数据结构和特征"},"suggest_visualization": {"enabled": true,"intelligent_selection": true,"description": "智能推荐可视化方案"},"create_chart": {"enabled": true,"supported_types": ["line", "bar", "scatter", "pie", "heatmap", "box"],"description": "创建数据可视化图表"},"get_data_insights": {"enabled": true,